QUANTUM ERROR CORRECTION USING NEURAL NETWORKS

Organization Name

GOOGLE LLC

Inventor(s)

Andrew W. Senior of London (GB)

Francisco Javier Hernandez Heras of London (GB)

Thomas Bastian Edlich of London (GB)

Alexander James Davies of London (GB)

Johannes Karl Richard Bausch of Cambridge (GB)

Kevin Satzinger of Goleta CA (US)

Michael Gabriel Newman of Palo Alto CA (US)

QUANTUM ERROR CORRECTION USING NEURAL NETWORKS

This abstract first appeared for US patent application 20250068955 titled 'QUANTUM ERROR CORRECTION USING NEURAL NETWORKS

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting errors in a computation performed by a quantum computer. in one aspect, a method comprises obtaining error correction data for each of a plurality of time steps during the computation; and processing a respective input for each of a plurality of updating time steps using one or more machine learning decoder models to generate a prediction of whether an error occurred in the computation, wherein each updating time step corresponds to one or more of the time steps and wherein the respective input for each of the plurality of updating time steps is generated from the error correction data for the corresponding one or more time steps.